Professor, ACM/IEEE Member, CCF Senior Member
Expertise:
Bioinformatics (Biomarker&Genetic interaction identification, Genetic association analysis on multi-omics)
Computational Systems Biology (Pathway discovery and analysis, Biological network construction and analysis)
Artificial Intelligence for Science (Causality learning&Clustering&Network modeling and analysis for diseases analysis and plant breeding)
Selected Papers:
Journal Paper:
[1]. Jiaxuan Liang, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo. Gradient-based Local Causal Structure Learning. IEEE Transactions on Cybernetics (CCF B, SCI, IF=19.118) , 2024, 54(1): 486-495.
[2]. Jun Wang, Xing Wang, Guoxian Yu*, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang. Discovering Multiple Co-Clusterings with Matrix Factorization, IEEE Transactions on Cybernetics (CCF B,SCI, IF=19.118), 2021, 51(7): 3576-3587.
[3]. Guoxian Yu, Yuehui Wang, Jun Wang*, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang. Attributed Heterogeneous Network Fusion via Collaborative Matrix Tri-factorization, Information Fusion (CCF B,SCI, IF=18.6), 2020, 63: 153-165.
[4]. Yunfeng Zhao, Guoxian Yu, Jun Wang*, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui. Personalized Federated Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems (CCF B, SCI,IF=14.255) , 2024, 35(2): 2534-2544.
[5]. Guoxian Yu, Yuying Xing+, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Multi-view Multi-instance Multi-label Active Learning. IEEE Transactions on Neural Networks and Learning Systems (CCF B, SCI,IF=14.255), 2022, 33(9): 4311-4321.
[6]. Guoxian Yu, Xuanwu Liu, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Flexible Cross-Modal Hashing, IEEE Transactions on Neural Networks and Learning Systems (CCF B, SCI, IF=14.255), 2022, 33(1): 304-314.
[7]. Guoxian Yu, Jinzheng Tu, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Active Multi-Label Crowd Consensus, IEEE Transactions on Neural Networks and Learning Systems (CCF B, SCI, IF=14.255), 2021, 32(4): 1448-1459.
[8]. Jiaxuan Liang, Jun Wang*, Guoxian Yu, Wei Guo, Carlotta Domeniconi, Maozu Guo. Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Transactions on Knowledge and Data Engineering (CCF A, SCI, IF=9.235), 2023,35(9): 10845-10856.
[9]. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang*, Zhao Li, Zili Zhang, Xiangliang Zhang. CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples, IEEE Transactions on Knowledge and Data Engineering (CCF A, SCI, IF=9.235), 2022, 34(5): 2091-2105.
[10]. Haojiang Tan, Maozu Guo, Jian Chen, Jun Wang*, Guoxian Yu*. HetFCM: Functional co-module discovery by heterogeneous network co-clustering. Nucleic Acids Research (SCI, IF=14.9) , 2024, 52, e62.
[11]. Guoxian Yu, Liangrui Ren, Jun Wang*, Carlotta Domeniconi, Xiangliang Zhang. Multiple Clusterings: Recent Advances and Perspectives. Computer Science Review, (SCI, IF=12.9), 2024, 52: 100621.
[12]. Liangrui Ren, Jun Wang*, Zhao Li, Qingzhong Li, Guoxian Yu. scMCs: a framework for single cell multi-omics data integration and multiple clusterings. Bioinformatics (CCF B, SCI, IF=6.931), 2023, 39(4): btad133.
[13]. Xingze Wang, Guoxian Yu*, Jun Wang*, Azlan Mohd Zain, and Wei Guo. Lung Cancer Subtype Diagnosis using Weakly-paired Multi-omics Data. Bioinformatics (CCF B, SCI, IF=6.931), 2022, 38(22):5092-5099.
[14]. Guoxian Yu, Keyao Wang, Carlotta Domeniconi, Maozu Guo*, Jun Wang*. Isoform function prediction based on bi-random walks on a heterogeneous network, Bioinformatics (CCF B, SCI, IF=6.931), 2020, 36(1): 303-310.
[15]. Jun Wang, Xi Chen, Zhengtian Wu, Maozu Guo and Guoxian Yu*. Cooperative driver pathways discovery by multiplex network embedding. Briefings in Bioinformatics (CCF B, SCI, IF=13.994), 2023, 24(3): bbad112.
[16]. Zimo Huang, Jun Wang*, Xudong Lu, Azlan Mohd Zain, Guoxian Yu. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial n1etwork. Briefings in Bioinformatics (CCF B, IF=13.994), 2023, bbad040.
[17]. Zimo Huang, Jun Wang*, Zhongmin Yan, Maozu Guo. Differentially Expressed Genes prediction by multiple self-attention on epigenetics data. Briefings in Bioinformatics, (CCF B, SCI, IF=13.994), 2022, 23(4): bbac117.
[18]. Xin Wang, Xia Cao, Yuantao Feng, Maozu Guo, Guoxian Yu, Jun Wang*. ELSSI: parallel SNP-SNP interactions detection by ensemble multi-type detectors. Briefings in Bioinformatics (CCF B, SCI, IF=13.994), 2022, 23(4): bbac213.
[19]. Jun Wang, Ziying Yang, Carlotta Domeniconi, Xiangliang Zhang, Guoxian Yu*. Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs, and pathways, Briefings in Bioinformatics (CCF B, SCI, IF=13.994), 2021, 22(2): 1984-1999.
[20]. Zimo Huang, Jun Wang*, Zhongmin Yan, Lin Wan, Maozu Guo. Differential gene expression prediction by ensemble deep networks on Histone Modification data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2023, 20(1): 340-351.
[21]. Jun Wang*, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu. EpiMC: Detecting Epistatic Interactions using Multiple Clusterings. IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2022, 19(1): 243-254.
[22]. Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu*. DeepIII: Predicting isoform-isoform interactions by deep neural networks and data fusion, IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2022, 19(4): 2177-2187.
[23]. Guoxian Yu, Qiuyue Huang+, Xiangliang Zhang, Maozu Guo*, Jun Wang*. Tissue Specificity based Isoform Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2022, 19(5): 3048-3059.
[24]. Guoxian Yu, Yeqian Yang+, Yangyang Yan+, Maozu Guo, Xiangliang Zhang, Jun Wang*. DeepIDA: predicting isoform-disease associations by data fusion and deep neural networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2022, 19(4): 2166-2176.
[25]. Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang*. CDPath: Cooperative driver pathways discovery using integer linear programming and Markov clustering, IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2021, 18(4): 1439-1450.
[26]. Guoxian Yu, Keyao Wang, Guangyuan Fu, Maozu Guo, Jun Wang*. NMFGO: Gene function prediction via nonnegative matrix factorization with Gene Ontology, IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B, SCI, IF=4.5), 2020, 36(1): 303-310.
[27]. Lin Jiang, Guoxian Yu, Maozu Guo*, Jun Wang*. Feature selection with missing labels based on label compression and local feature correlation, Neurocomputing (CCF C, SCI, IF=6), 2020, 395: 95-106.
[28]. Long Zhang, Guoxian Yu, Dawen Xia, Jun Wang*. Protein-Protein Interactions Prediction based on Ensemble Deep Neural Networks, Neurocomputing (CCF C, SCI, IF=6), 2019, 324: 10-19.
[29]. Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang*. Semi-supervised multi-label classification using incomplete label information, Neurocomputing (CCF C, SCI, IF=6), 2017, 260: 192-202.
[30]. Jun Wang, Guangjun Yao, Guoxian Yu*. Semi-supervised classification by discriminative regularization, Applied Soft Computing (CCF B, SCI, IF=8.7), 2017, 58: 245-255.
[31]. Xia Cao, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang*. DualWMDR: detecting epistatic interaction with dual screening and multifactor dimensionality reduction, Human Mutation (SCI, IF=3.9), 2020, 41(3): 719-734.
[32]. Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang*. Predicting protein-protein interactions using high-quality non-interacting pairs, BMC Bioinformatics (CCF C, SCI, IF=3), 2018, 19(S19): 525.
Conference Paper:
[1]. Dezhi Yang, Xintong He, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang. Federated Causality Learning with Explainable Adaptive Optimization. 38th AAAI Conference on Artificial Intelligence (AAAI) (CCF A) , 2024, pp. 16308-16315
[2]. Zijun Gao, Jun Wang*, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang. Long-tail Cross Modal Hashing. 37th AAAI Conference on Artificial Intelligence (AAAI) (CCF A) , 2023.
[3]. Dezhi Yang, Guoxian Yu, Jun Wang*, Zhengtian Wu, Maozu Guo. Reinforcement Causal Structure Learning on Order Graph. 37th AAAI Conference on Artificial Intelligence (AAAI) (CCF A) , 2023.
[4]. Shaowei Wei, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang. Multi-View Multiple Clusterings using Deep Matrix Factorization, 34rd AAAI Conference on Artificial Intelligence (AAAI) (CCF A), 2020, pp. 6348-6355.
[5]. Xing Wang, Jun Wang*, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao, Maozu Guo. Multiple Independent Subspace Clusterings, 33rd AAAI Conference on Artificial Intelligence (AAAI) (CCF A), 2019, pp. 5353-5360.
[6]. Shaowei Wei, Jun Wang*, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang. Deep Incomplete Multi-View Multiple Clusterings, IEEE International Conference on Data Mining (ICDM) (CCF B), 2020, pp. 651-660.
[7]. Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang*, Zhiwen Yu, and Zili Zhang. Multiple Co-Clusterings, International Conference on Data Mining (ICDM) (CCF B), 2018, pp. 1308-1313.
[8]. Dezhi Yang, Guoxian Yu, Jun Wang*, Zhongmin Yan, Maozu Guo. Causal Discovery by Graph Attention Reinforcement Learning. SIAM International Conference on Data Mining (SDM) (CCF B) , 2023.
[9]. Shixin Yao, Guoxian Yu, Xing Wang, Jun Wang*, Carlotta Domeniconi, Maozu Guo. Discovering Multiple Co-Clusterings in Subspaces, SIAM Conference on Data Mining (SDM) (CCF B), 2019, pp. 423-431.
[10]. Haojiang Tan, Jun Wang*, Guoxian Yu, Wei Guo, and Maozu Guo. Phenotype Prediction by Heterogeneous Molecular Network Embedding. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B) , 2022.
[11]. Xin Wang, Jun Wang*, Guoxian Yu, Beibei Xin, and Maozu Guo. Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B) , 2021, pp. 314-319.
[12]. Haojiang Tan, Sichao Qiu, Jun Wang*, Guoxian Yu, Wei Guo, and Maozu Guo. Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B) , 2021, pp. 211-216.
[13]. Huiling Zhang, Jun Wang*, Guoxian Yu, Lizhen Cui, Maozu Guo. Epistasis Detection using Heterogeneous Bio-molecular Network, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2020, pp. 194-199.
[14]. Sufang Li, Jun Wang*, Maozu Guo, and Xiangliang Zhang. Cooperative Driver Pathway Discovery byHierarchical Clustering and Link Prediction., IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2020, pp. 194-199.
[15]. Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, Jun Wang*. CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2019, pp. 165-170.
[16].Guoxian Yu, Yuehui Wang, Jun Wang*, Guangyuan Fu, Maozu Guo, and Carlotta Domeniconi. Weighted matrix factorization based data fusion for predicting lncRNA-disease associations, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B), 2018, pp. 572-577.
Fundings:
Ongoing:
2020-08, Natural Science Fund of China
2022-09, Natural Science Fund of China
Finished:
2018-08, Natural Science Fund of China
2011-08, Natural Science Fund of China
2016-06, Natural Science Fund of Chongqing
2019-11, CAAI-Huawei MindSpore Open Fund
Professional Services:
Associate Editor:
Journal of Beijing University of Civil Engineering and Architecture
Computational Biomedicine
Member:
CCF Bioinformatics, CCF Artificial Intelligence and Pattern Recognition
CAAI Bioinformatics, CAAI Machine Learning
IEEE, China Computer Federation(CCF)
SPC/PC:
IJCAI19-24, AAAI19-24, PAKDD19-24, BIBM 19-24, ISBRA16-20, etc.
Reviewer:
Nature Communication, Genome Biology, Nucleic Acids Research,
Bioinformatics, Briefings in Bioinformatics, Current Bioinformatics, IEEE TNNLS,
TKDE, TCYB, TII, Information Fusion, Neural Networks, Neurocomputing, etc.
2. 杨德智. Reinforcement Causal Structure Learning on Order Graph .2023
3. 高子俊. Long-tail Cross Modal Hashing .2023
4. 康祥平. Self-paced Annotations of Crowd Workers .Knowledge and Information Systems.2022,64 (00):3235
5. 任良瑞. A Diversified Attention Model for Interpretable Multiple Clusterings .TKDE.2022 (1)
7. 杨德智. Causal Discovery by Graph Attention Reinforcement Learning .2023
15. 刘玄武. Weakly Supervised Cross-Modal Hashing .IEEE TRANSACTIONS ON BIG DATA.2019,8 (2):552
16. 谭好江. Phenotype Prediction by Heterogeneous Molecular Network Embedding .2022
17. 王峻. 基于单细胞数据的癌症协同驱动模块识别方法 .中国科学-信息科学.2022 (00)
24. 余国先. Crowdsourcing with Self-paced Workers .2021
29. 余国先. EpiHNet: Detecting epistasis by heterogeneous molecule network .METHODS.2021 (00)
38. 王峻. Deep Incomplete Multi-View Multiple Clusterings .2020
40. 王峻. Epistasis Detection using Heterogeneous Bio-molecular Network .2020
41. 王峻. Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction .2020
Title |
Intelligent data engineering and Analytics (idea) laboratory |
Description of Research Group: |
www.sdu-idea.cn |
Members |